Evidence map›Paper›PMID 20308035›Full record

ArticleEnvironmental health perspectives2010

Common genetic variation, residential proximity to traffic exposure, and left ventricular mass: the multi-ethnic study of atherosclerosis.

Victor C Van Hee, Sara D Adar, Adam A Szpiro, R Graham Barr, Ana Diez Roux, David A Bluemke, Lianne Sheppard, Edward A Gill, Hossein Bahrami, Christina Wassel and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

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  15. Cardiovascular magnetic resonance in an adult human population: serial observations from the multi-ethnic study of atherosclerosis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2017
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 8 institutions in 1 country.

Victor C Van HeeDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, USA. vvanhee@u.washington.edu
Sara D Adar
Adam A Szpiro
R Graham Barr
Ana Diez Roux
David A Bluemke
Lianne Sheppard
Edward A Gill
Hossein Bahrami
Christina Wassel
Michele M Sale
David S Siscovick
Jerome I Rotter
Stephen S Rich
Joel D Kaufman
University of Washington · USCedars-Sinai Medical Center · USColumbia University Irving Medical Center · USJohns Hopkins University · USNational Institutes of Health · USUniversity of Michigan · USUniversity of Minnesota · USUniversity of Virginia · US

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Nicole Ann Errett · 1995 to 2026
$42.5M
Pulmonary microvascular perfusion in the Multi-Ethnic Study of AtherosclerosisR01HL077612 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI R Graham BARR · 2004 to 2026
$18.8M
Project 5: ROS, Glutathione and Vascular Response to Diesel ExhaustP50ES015915 · NIEHS · UNIVERSITY OF WASHINGTON · PI KAUFMAN, JOEL DANIEL · 2008 to 2012
$11.8M
Multi-Ethnic Study of Atherosclerosis (MESA) StudyR01HL071205 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI ROTTER, JEROME I · 2003 to 2007
$10.4M
Molecular Biomedical Imaging Laboratory (NIBIB)ZIAEB000072 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI BLUEMKE, DAVID · 2010 to 2017
$5.0M
CVD Epidemiology Training ProgramT32HL007902 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 1998 to 2012
$3.6M
Environmental Factors in Cardiovascular DiseaseK24ES013195 · NIEHS · UNIVERSITY OF WASHINGTON · PI KAUFMAN, JOEL DANIEL · 2005 to 2014
$1.5M
Adjunctive Use of Apyrase to Fibrinolytic TherapyR44HL095169 · NHLBI · APT THERAPEUTICS, INC. · PI CHEN, RIDONG · 2012 to 2013
$1.3M
MESA Family StudyR01HL071258 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BURKE, GREGORY L · 2003 to 2007
$918k
MESA Family StudyR01HL071251 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI PANKOW, JAMES S · 2003 to 2007
$844k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY--FIELD CENTERN01HC095161 · HC · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHEA, STEVEN · 1999 to 2001
$642k
Intramural NIH HHS Z99 CL999999Intramural NIH HHS ZIA CL090019Intramural NIH HHS ZIA EB000072NHLBI NIH HHS HL070151NHLBI NIH HHS HL071205NHLBI NIH HHS HL071251-52NHLBI NIH HHS HL071258-59NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095169NHLBI NIH HHS N01-HC-95159NHLBI NIH HHS N01-HC-95160NHLBI NIH HHS N01-HC-95161NHLBI NIH HHS N01-HC-95162NHLBI NIH HHS N01-HC-95163NHLBI NIH HHS N01-HC-95164NHLBI NIH HHS N01-HC-95165NHLBI NIH HHS N01-HC-95169NHLBI NIH HHS R01 HL071205NHLBI NIH HHS R01 HL071251NHLBI NIH HHS R01 HL071258NHLBI NIH HHS R01 HL077612NHLBI NIH HHS T32 HL007902NHLBI NIH HHS T32HL07902NIEHS NIH HHS K24 ES013195NIEHS NIH HHS K24ES013195NIEHS NIH HHS P30 ES007033NIEHS NIH HHS P30ES07033NIEHS NIH HHS P50 ES015915NIEHS NIH HHS P50ES015915
6 · The paper itself

Abstract

backgroundElevated left ventricular mass (LVM) is a strong predictor of negative cardiovascular outcomes, including heart failure, stroke, and sudden cardiac death. A relationship between close (< 50 m compared with > 150 m) residential proximity to major roadways and higher LVM has previously been described, but the mechanistic pathways that are involved in this relationship are not known. Understanding genetic factors that influence susceptibility to these effects may provide insight into relevant mechanistic pathways.

objectiveWe set out to determine whether genetic polymorphisms in genes affecting vascular and autonomic function, blood pressure, or inflammation influence the relationship between traffic proximity and LVM.

methodsThis was a cross-sectional study of 1,376 genotyped participants in the Multi-Ethnic Study of Atherosclerosis, with cardiac magnetic resonance imaging performed between 2000 and 2002. The impact of tagged single-nucleotide polymorphisms (tagSNPs) and inferred haplotypes in 12 candidate genes (ACE, ADRB2, AGT, AGTR1, ALOX15, EDN1, GRK4, PTGS1, PTGS2, TLR4, VEGFA, and VEGFB) on the relationship between residential proximity to major roadways and LVM was analyzed using multiple linear regression, adjusting for multiple potential confounders.

resultsAfter accounting for multiple testing and comparing homozygotes, tagSNPs in the type 1 angiotensin II receptor (AGTR1, rs6801836) and arachidonate 15-lipoxygenase (ALOX15, rs2664593) genes were each significantly (q < 0.2) associated with a 9-10% difference in the association between residential proximity to major roadways and LVM. Participants with suboptimal blood pressure control demonstrated stronger interactions between AGTR1 and traffic proximity.

conclusionsCommon polymorphisms in genes responsible for vascular function, inflammation, and oxidative stress appear to modify associations between proximity to major roadways and LVM. Further understanding of how genes modify effects of air pollution on CVD may help guide research efforts into specific mechanistic pathways.

Indexed as

Environmental ExposureGenetic VariationVehicle EmissionsAgedAged, 80 and overAir PollutionCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseGenotypeHaplotypesHumansHypertrophy, Left VentricularLinear ModelsMagnetic Resonance ImagingMaleVehicle Emissions

Identifiers

PMID20308035
PMCPMC2920916
OpenAlexW2045151996

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.